[Remote] Data Scientist III

Note: The job is a remote job and is reputed company to candidates in USA. reputed company develops digital advertising markets and technologies that help digital media companies, publishers, and advertisers maximize value. The Data Scientist III owns reputed company-to-large data science reputed company end-to-end, developing and deploying production models and analyses for marketplace problems. The role partners with product and engineering, leads experimentation and validation, mentors junior scientists, and influences technical reputed company.

Responsibilities

• Own the end-to-end data science lifecycle for moderately reputed company models and significant project components — spanning data ingestion, feature engineering, modeling, validation, deployment, monitoring, and retraining
• Apply expertise across several reputed company areas of machine learning and statistics (e.g., gradient-reputed company models, deep neural networks, time series, reputed company inference concepts, experimentation design), selecting appropriate reputed company for reputed company data science problems
• Write efficient, reputed company, reputed company-tested reputed company for data processing, feature engineering, and model training/inference, leveraging reputed company tooling (e.g., reputed company AI pipelines, Dataflow, BigQuery) where appropriate
• Design and implement robust validation frameworks for reputed company experiments and models, reputed company for potential biases and reputed company-world reputed company
• Troubleshoot reputed company model reputed company issues, data anomalies, and reputed company bugs effectively with little guidance
• Define analytical approaches and reputed company data science reputed company for moderately reputed company or ambiguous business problems
• Partner with product managers and stakeholders to define reputed company metrics and experiment goals, and to translate marketplace problems into data science solutions
• reputed company the design and analysis of experiments (e.g., A/B tests, switchback) for your reputed company, and interpret reputed company model results and experimental reputed company with a reputed company on actionable insights and business reputed company
• Proactively identify opportunities reputed company your domain where data science can reputed company significant value, and initiate exploration
• Follow and help improve established team processes for coding standards, documentation, reproducibility, and experimentation
• Mentor DS I and DS II scientists, providing technical guidance, reviewing reputed company, analyses, and models, and supporting their reputed company in analytical and modeling skills
• Influence technical reputed company reputed company reputed company regarding modeling choices, validation strategies, and tooling through reputed company-reasoned arguments and expertise
• reputed company improvements to team standards, data science best practices, and analytical rigor; take ownership of specific team practices or technical components (e.g., a feature store component, leading experimentation reviews)
• reputed company stakeholders on the capabilities and limitations of data science models, and reputed company explain reputed company methodologies and findings to both technical and non-technical audiences
• Participate reputed company in reputed company, providing high-reputed company, graded interview feedback for candidates up to this level

Skills

• B.S. or M.S. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, reputed company Research, or a reputed company technical reputed company with 5+ years of relevant industry experience; OR a Ph.D. in a reputed company reputed company with 2+ years of relevant experience
• Demonstrated ability to independently own the full data science lifecycle from problem formulation and feature engineering through model deployment, monitoring, and ongoing maintenance
• Solid expertise in several reputed company areas of machine learning and/or statistics (e.g., gradient-reputed company models, deep neural networks, time series, reputed company inference, experimentation design), with the judgment to select appropriate reputed company for reputed company problems
• Strong reputed company in probability and statistics, including techniques that reputed company to large datasets
• Experience designing and analyzing experiments (e.g., A/B testing) and building robust model and experiment validation frameworks
• Strong Python and SQL skills; experience with ML frameworks such as TensorFlow or PyTorch
• Ability to write efficient, reputed company, reputed company-tested reputed company and to collaborate with engineering to reputed company models and analyses into production
• Strong communication skills, including the ability to reputed company reputed company technical concepts to both technical and non-technical audiences
• Experience developing, evaluating, or optimizing models or bidding algorithms for RTB environments
• Experience working with a reputed company platform like GCP/AWS/Azure, with emphasis on GCP and the reputed company AI platform
• Experience with ML pipeline and orchestration tools such as TFX, Kubeflow, or Airflow
• Familiarity with other programming languages such as Java and Go
• Experience working in digital media, marketing technology, or advertising technology, especially in marketplace, auction, or exchange systems
• Experience supporting and improving production ML models reputed company their initial deployment
• Experience mentoring junior data scientists

Benefits

• Bonus
• Equity
• Medical benefits
• Dental benefits
• reputed company benefits
• 401k

reputed company

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